Maximum likelihood estimation of a random-effects model

被引：0

作者：

Hwang, JS

Sepanski, SJ

机构：

[1] Cent Michigan Univ, Dept Math, Mt Pleasant, MI 48859 USA

[2] Saginaw Valley State Univ, Dept Math Sci, University Ctr, MI 48710 USA

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1999年 / 28卷 / 01期

关键词：

dynamic error components model; repeated measurements;

D O I：

10.1080/03610929908832288

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

This paper suggests a random-effects model for a repeated-measurement experiment to compare the treatment effects. This model considers a normal random coefficient with truncation to the interval 0 to 1. The maximum likelihood estimator is derived. Empirical results are presented.

引用

页码：143 / 156

页数：14

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